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machine learning models to improve the process of creating transportation models. Responsibilities: Development of optimisation and machine learning models to improve the process of creating transportation
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of BM growth during the development of the fruit fly Drosophila. This position offers a unique opportunity to work at the interface of biology and physics, mastering a wide set of cutting-edge techniques
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biophysics. You should also have a good understanding of soft matter or biological physics (broadly defined). Proficiency in scientific programming, especially computational image analysis, is highly desirable
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objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a
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will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other
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either a Postdoctoral Research Associate or Fellow to participate in a new EPSRC funded project to explore the physics of waves in materials where the properties (e.g. refractive index) vary rapidly in
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able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events
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research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will
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funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related
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generated from DFT calculations. About you Applicants will possess a relevant PhD or equivalent qualification/experience in materials, physics, chemistry, or a related field of study. For Fellow level the